whatmodel.sh / image / FireRed-Image-Edit-1.1

FireRed-Image-Edit-1.1 is an open-weights image model from FireRedTeam (Xiaohongshu), released March 2026. Licence: apache-2.0.

Catalogue identity notes

Xiaohongshu FireRedTeam's FireRed-Image-Edit-1.1 (FireRedTeam/FireRed-Image-Edit-1.1, pinned 3bc3f2a, Apache-2.0). ChartSync evaluates both 1.0 and 1.1 by name (Table 7: guidance 4.0, 40 steps). Lightning and ComfyUI repackagings are separate and not assumed. Comparison-only.

Model information sources

Release date ↗ · Weights licence ↗

58.9±3.7comparison only: no current run option verifiedfrom 2 benchmark results across 2 sources* thinly tested, treat the rank as provisional

Score within the LMArena text-to-image comparison set only.

$ how it compares

The image models ranked either side of FireRed-Image-Edit-1.1, out of 197 with a score, then more from FireRedTeam (Xiaohongshu).

#modelscorewhereRAMreleased
53Wan 2.5 Text-to-Image Preview Alibaba59±3api $0.030/image2025-09
54Recraft V4 Recraft59±3api $0.040/image2026-02
55FireRed-Image-Edit-1.1 FireRedTeam (Xiaohongshu)59±4comparison only2026-03
56Krea 2 Turbo Krea59±3api $0.015/image +local~20GB2026-06
57GPT Image 1 Mini OpenAI59±2api $0.011/image2025-10
more from FireRedTeam (Xiaohongshu)
75FireRed-Image-Edit-1.0 FireRedTeam (Xiaohongshu)56±4comparison only2026-02

see all image models · find the ones that fit your machine

$ what it's good at

image to image / editing▁▁▁▃▂▃█▃▃▃▁▁ #29 of 81 * · 23% of its score · 1 test

Beats FLUX.2 [max], FLUX.2 [pro], FLUX.2 [flex] here, though they rank higher overall.

testresultvs the others in its rundifficultycountswhy
MultiTextEdit cross-lingual text-in-image editing (SemAvg, LVM judge)64.1% ✎▄·▄▄▄▄··█▄·▄ beats 5/8medium · avg 50%▇▇▇▇▇▇▇▇▇ 23%at its level
other tests1 not in a task · 71% of its score
testresultvs the others in its rundifficultycountswhy
ChartSync chart editing (Overall)56.2% ✎▂··▂█▃▄▂▂·▂▂ beats 6/12medium · avg 41%▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 71%at its level

$ where to run it

No verified API or download recorded yet · add one

Official weights and documentation: huggingface.co/FireRedTeam ↗

$ how the score was worked out · ChartSync: A Benchmark for Vi… 71%, MultiTextEdit: Benchmarking C… 23%

Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works

sourceresultsshare of the scorelicence
ChartSync: A Benchmark for Visuo-Logical Cascading Chart Editing (arXiv:2607.10301v1)1▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 71%CC-BY-4.0
MultiTextEdit: Benchmarking Cross-Lingual Degradation in Text-in-Image Editing (arXiv:2605.08163v2), Table 31▇▇▇▇▇▇▇ 23%CC BY 4.0
prior · pull toward the middle▇▇ 6%
weighted average= 58.9

$ improve this page

Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.

data updated · sources and licences · json